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license: apache-2.0 |
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<style> |
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img{ |
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user-select: none; |
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transition: all 0.2s ease; |
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border-radius: .5rem; |
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} |
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img:hover{ |
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transform: rotate(2deg); |
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filter: invert(100%); |
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} |
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@import url('https://fonts.googleapis.com/css2?family=Vollkorn:ital,wght@0,400..900;1,400..900&display=swap'); |
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</style> |
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<div style="background-color: transparent; border-radius: .5rem; padding: 2rem; font-family: monospace; font-size: .85rem; text-align: justify;"> |
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This is a passthrough of arco with an experimental model. It improved on arc challenge, only missing 1.2 points to get to the level of modern 3b baseline performance. |
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If you prefer answering multilingual, general knowledge, trivially simple questions chose qwen or llama. If you prefer solving trivially simple english tasks while being half the size, chose arco. |
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#### prompt |
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there is no prompt intentionally set. |
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#### benchmarks |
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zero-shot results from state-of-the-art small language models |
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| Parameters | Model | MMLU | ARC-C | HellaSwag | PIQA | Winogrande | Average | |
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| -----------|--------------------------------|-------|-------|-----------|--------|------------|---------| |
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| 0.5b | qwen 2 |44.13| 28.92| 49.05 | 69.31 | 56.99 | 49.68 | |
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| 0.3b | smollm |25.52| 37.71| 56.41| 71.93| 59.27| 50.17 | |
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| 0.5b | danube 3 | 24.81| 36.18| 60.46| 73.78 | 61.01 | 51.25 | |
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| 0.5b | qwen 2.5 |**47.29**|31.83|52.17|70.29|57.06|51.72| |
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| 0.5b | arco |26.17|37.29|62.88|74.37|**62.27**|52.60| |
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| 0.5b | arco 2 |25.51|**38.82**|**63.02**|**74.70**|61.25|**52.66**| |
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#### supporters |
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<a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 34px !important; margin-top: -4px;width: 128px !important; filter: contrast(2) grayscale(100%) brightness(100%);" ></a> |
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### trivia |
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arco also means "arc optimized" hence the focus on this cognitive-based benchmark. |
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</div> |
